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Storytelling is an open-ended task that entails creative thinking and requires a constant flow of ideas.
Perplexity—a measure of the difficulty of speech recognition tasks
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Multimodal generative models for compositional representation learning, 2019
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P. J. Liu, M. Saleh, E. Pot, B. Goodrich, R. Sepassi, L. Kaiser, and N. Shazeer · 2018
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Predicting generated story quality with quantitative measures, 2018
C. Purdy, X. Wang, L. He, and M. Riedl · 2018
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Language models are unsupervised multitask learners
A. Radford, J. Wu, R. Child, D. Luan, D. Amodei, and I. Sutskever · 2018
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Show me a story: Towards coherent neural story illustration
H. Ravi, L. Wang, C. M. Muniz, L. Sigal, D. N. Metaxas, and M. Kapadia · 2018
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Multimodal generative models for scalable weakly-supervised learning
M. Wu and N. D. Goodman · 2018
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Plan-and-write: Towards better automatic storytelling, 2018
L. Yao, N. Peng, R. Weischedel, K. Knight, D. Zhao, and R. Yan · 2018
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Transformer-xl: Attentive language models beyond a fixed-length context, 2019
Z. Dai, Z. Yang, Y. Yang, J. Carbonell, Q. V. Le, and R. Salakhutdinov · 2019
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STORIUM: A Dataset and Evaluation Platform for Machine-in-the-Loop Story Generation
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Language models are few-shot learners, 2020
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Schema-guided natural language generation, 2020
Y. Du, S. Oraby, V. Perera, M. Shen, A. Narayan-Chen, T. Chung, A. Venkatesh, and D. Hakkani-Tur · 2020
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Bleurt: Learning robust metrics for text generation, 2020
T. Sellam, D. Das, and A. P. Parikh · 2020
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Unsplah dataset
Unsplash · 2020
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Narrative interpolation for generating and understanding stories, 2020
S. Wang, G. Durrett, and K. Erk · 2020
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Learning transferable visual models from natural language supervision, 2021
A. Radford, J. W. Kim, C. Hallacy, A. Ramesh, G. Goh, S. Agarwal, G. Sastry, A. Askell, P. Mishkin, J. Clark, G. Krueger, and I. Sutskever · 2021
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Zero-shot text-to-image generation, 2021
A. Ramesh, M. Pavlov, G. Goh, S. Gray, C. Voss, A. Radford, M. Chen, and I. Sutskever · 2021
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